[P] Image Manipulation and Classification: Identifying traffic objects
This is an example of an image classifier built with Keras to identify presence of traffic objects.
Specifically, the VGG16 network was used as the pre-trained model, and the images themselves were manipulated using PIL for cropping purposes, and using Grad-CAM and cv2 to respectively generate a heatmap, and superimpose the heatmap on the relevant image.
Findings can be found here. Hope that you find this of use, and any feedback or tips greatly appreciated.